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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
relevant field such as engineering, computer science, or applied mathematics. Experience or interest in AI, machine learning, or digital systems is beneficial. We welcome candidates from diverse backgrounds
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(physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility The studentship
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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Warwick Manufacturing Group Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across WMG. Eligibility: PGR applicants in WMG Value: payment of academic fees and a UKRI level stipend, access to research support costs. Deadline: various Applications are...
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, Mathematical Sciences, Materials Science and Engineering, and Chemical Engineering are welcome to apply. If you are seeking an exciting opportunity to become part of a multidisciplinary team of esteemed
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Job Purpose The successful candidate will contribute to a project focusing on remote RF Sensing and its applications in healthcare involving technologies for both sensing and communications, under the supervision of Prof. Muhammad Ali Imran and Prof Jonathan Cooper, who will act as Line...
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work may suit applicants from a mathematics, computer science, or data science background. A demonstrable understanding of, and passion for, psychological research is essential. Candidates should be able
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academic writing. You possess methodological competence in modern theoretical concepts and mathematical tools in quantum information, general relativity, and quantum foundations. You demonstrate didactic
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. ii) to use mathematical modelling methods to determine how on farm management practices can impact the carbon footprint of farm carbon assessment. iii) to contribute to the body of scientific
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advantageous. Familiarity with mathematical modelling of power electronics circuits is also desirable. Funding Further information and other funding options . Informal Enquiries: s.neira@ed.ac.uk